An AI-informed model of human reward-based learning: Hybrid approach could aid studies of mood disorders

People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a ...

Microsoft open-sources multimodal reasoning model with 15B parameters

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...
Science Daily

A novel neural network for preserving cultural heritage via 3D image reconstruction

Relief-type cultural heritage objects are commonly found in many historical sites worldwide, but often suffer from varying levels of damage and deterioration. Traditional methods for image ...
China Daily

Chinese researchers create neural network for modeling human concept formation

BEIJING -- Chinese scientists have developed a novel neural network that enables artificial intelligence (AI) to form ...
TMCnet

MicroCloud Hologram Inc. Achieves Breakthrough in Practically Deployable Quantum Recurrent Neural Network (QRNN) Technology Oriented Toward Sequential Learning

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...
eLife

“What” × “When” working memory representations using Laplace Neural Manifolds

The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...
TMCnet

NetAirus Technologies Launches Panatem™ an Industry-First World-Model Artificial Intelligence Framework for Augmented Reality Headsets

NetAirus Technologies, a pioneer in electro-optical systems, today announced the introduction of the Panatem™ Artificial Intelligence (AI) framework, which is designed for the n ...
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.